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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Методика представления пропущенного цвета по аналогии как инструмент для объективной оценки способности к представлению цвета

Психология. Журнал Высшей школы экономики. 2025. Т. 22. № 3. С. 522–533.
Иванушко В. П., Vasilenko V., Pechenkova E.

Object imagery, representing pictorial features, and spatial imagery, representing spatial relations and transformations, are two aspects of visual mental imagery distinguished in the literature. While spatial imagery is assessed primarily with performance tests that allow an objective assessment of mental images, object imagery is assessed mainly on the basis of subjective self-report on imagery vividness. Aiming to fill this methodological gap, we developed an experimental task for color imagery, allowing an objective assessment of imagery performance. We took as a basis the structure of the methodological “gold standard” for the studies of spatial imagery — the Shepard and Metzler mental rotation task. Its important features are parametrically specified levels of complexity, measurement of the accuracy and reaction time, and restricted options for verbalizing. Our missing-color task requires mental construction of the missing color by analogy. Two levels of difficulty of the task with color sequences within a single hue were used in a pilot study on a sample of 35 young adults. The results indicate that a number of participants (37% in our sample) are able to generate task-relevant and differentiated representations of color, although the proportion of such people in the population is presumably significantly smaller than the proportion of people who provide high subjective ratings of their mental images in tasks requiring imagination of colored objects and scenes from verbal description. A more detailed understanding of the population distribution of color imagery performance and of possible mechanisms beyond it will require further research on larger samples, as well as developing additional control tasks.

Research target: Psychology
Language: Russian
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Keywords: репрезентацияrepresentationmental imageryвремя реакции reaction timeзрительное воображениеобъектное воображениеvisual imageryмысленные образывоображение цветаimagery of colorobject visual imagery
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